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Found 10 papers, 1 papers with code
FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function
All these contributions culminate in what we call FCCNs (Fully Complex-valued Convolutional Networks), which take complex-valued images as inputs, perform only complex-valued operations, and have a complex-valued loss function.
Comprehensive Saliency Fusion for Object Co-segmentation
Object co-segmentation has drawn significant attention in recent years, thanks to its clarity on the expected foreground, the shared object in a group of images.
Eye-focused Detection of Bell's Palsy in Videos
Our proposed eye-focused detection system is not only cheaper but also more convenient than several existing methods.
ASOC: Adaptive Self-aware Object Co-localization
The primary goal of this paper is to localize objects in a group of semantically similar images jointly, also known as the object co-localization problem.
SGG: Spinbot, Grammarly and GloVe based Fake News Detection
Such malpractices call for a robust automatic fake news detection system that can keep us at bay from such misinformation and hoaxes.
Detection of Gait Abnormalities caused by Neurological Disorders
To detect such abnormalities in gait, we develop gait features from the key-points of the human pose, namely shoulders, elbows, hips, knees, ankles, etc.
Feature-level Rating System using Customer Reviews and Review Votes
This work studies how we can obtain feature-level ratings of the mobile products from the customer reviews and review votes to influence decision making, both for new customers and manufacturers.
Image Co-skeletonization via Co-segmentation
Object skeletonization in a single natural image is a challenging problem because there is hardly any prior knowledge about the object.
Appearance Fusion of Multiple Cues for Video Co-localization
This work addresses the joint object discovery problem in videos while utilizing multiple object-related cues.
Object Co-Skeletonization With Co-Segmentation
Recent advances in the joint processing of images have certainly shown its advantages over the individual processing.
